Inexpensive MRI scanners based on permanent magnets present a promising diagnostic tool for developing countries. An ill-posed system of equations has to be solved in order to obtain an image. Due to the low signal-to-noise ratio, direct attempts at generating high resolution images yield poor results. In this research, super-resolution reconstruction is considered as an alternative. By first obtaining low resolution images and then applying super-resolution, high resolution images of better quality can be obtained.

This is poster number 17 in Poster Session

Authors:

Merel de Leeuw den Bouter (Delft University of Technology)

Martin van Gijzen (Delft University of Technology)

Rob Remis (Delft University of Technology)

Andrew Webb (Leiden University Medical Center)

Keywords:

image enhancement, image reconstruction, inverse problems, magnetic resonance imaging, numerical linear algebra